Deep Analysis of Biomedical Abstracts

Deep analysis helps discover information that would otherwise go undetected. We report on the application of semantic typing, deep parsing, discourse understanding, and resolution of hidden arguments for information discovery in the medical domain. The focus is on relation extraction, which provides the groundwork for discovering truly new relations that are based on information in the documents, but with no explicit connection. Our concern is with relations that require deep linguistic and semantic processing. Preliminary small-scale evaluation shows promising results, with an improvement in precision from 0.4000 to 0.9155, and recall from 0.1412 to 0.7647, compared with a shallow-method baseline.

By: Arendse Bernth

Published in: RC24098 in 2006


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